39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from pydantic.dataclasses import dataclass
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from vllm.config.utils import config
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@config
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@dataclass
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class SpeechToTextConfig:
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"""Configuration for speech-to-text models."""
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sample_rate: float = 16_000
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"""Sample rate (Hz) to resample input audio to. Most speech models expect
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16kHz audio input. The input audio will be automatically resampled to this
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rate before processing."""
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max_audio_clip_s: int = 30
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"""Maximum duration in seconds for a single audio clip without chunking.
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Audio longer than this will be split into smaller chunks if
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`allow_audio_chunking` evaluates to True, otherwise it will be rejected."""
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overlap_chunk_second: int = 1
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"""Overlap duration in seconds between consecutive audio chunks when
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splitting long audio. This helps maintain context across chunk boundaries
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and improves transcription quality at split points."""
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min_energy_split_window_size: int | None = 1600
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"""Window size in samples for finding low-energy (quiet) regions to split
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audio chunks. The algorithm looks for the quietest moment within this
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window to minimize cutting through speech. Default 1600 samples ≈ 100ms
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at 16kHz. If None, no chunking will be done."""
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@property
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def allow_audio_chunking(self) -> bool:
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return self.min_energy_split_window_size is not None
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